This is the Dataverse with the published datasets of the HUB Global Labour Conflicts project. This dataverse is maintained by the International Institute of Social History (IISG) (https://iisg.amsterdam/en) on behalf of the network. Any questions or suggestions can be addressed to ...

The datasets are grouped into so-called "Dataverses" of different levels. To see those levels, click on the tick box "Dataverses" on the left panel.

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You will see 5 dataverses:
  • Remarkable Strikes: These are qualitative accounts of a few selected, exceptional historical strikes.
  • Global Labour Conflicts: Contains the aggregated dataset on labour conflicts for more than 250 countries.
  • Micro Labour Conflicts: Datasets with more detailed accounts of specific (periods of) labour disputes.
  • Aggregate data: Datasets with aggregated data per country for certain time periods.
  • National Labour Conflicts: Datasets with aggregated data per country for certain time periods.

    For researchers with a focus on The Netherlands, the main dataset of interest is "Labour Conflicts in the Netherlands, 1372-2019" (https://hdl.handle.net/10622/APNT4U). This dataset has been converted to linked open data. The converted version can be queried using a sparql endpoint here: https://druid.datalegend.net/IISG/Labourconflicts. For users who are not able to query sparql directly, we provide a "Data story" with a simpler way to enter query terms. There are two data stories for the Dutch dataset:
  • A data story where you can get an overview of the data model: data story: data-model
  • A data story where you can get insights into the data itself, with the most common queries (per year, occupation, place, etc.): data story: dataset queries

    More information about the HUB Global Labour Conflicts and these data can be found here: https://iisg.amsterdam/en/blog/hub-global-labour-conflicts, and in this publication: Aurich, J., Simpson, C., & Kösters, R. (2022). Workers’ resistance across time and space. Arbetarhistoria, 183(3). https://doi.org/10.52024/tseg.14505.

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    National_Germany_1899-1933.xlsx
    Jul 5, 2016 - Germany, 1899-1933
    MS Excel Spreadsheet - 61.2 KB - MD5: 9987a36c19c30dcdbe28d6931d5a0479
    National_Brazil_1945-1989 explanatory text.doc
    Jun 27, 2016 - Brazil, 1945-1989 and Rio de Janeiro, 1791-1964
    MS Word - 33.0 KB - MD5: a324a23aaffd93f9268f79f93b1d43df
    National_Brazil_1945-1989.xlsx
    Jun 27, 2016 - Brazil, 1945-1989 and Rio de Janeiro, 1791-1964
    MS Excel Spreadsheet - 457.4 KB - MD5: 9cf624bda25934d3cfa61f521df9a865
    National_Brazil_Rio de Janeiro_1791-1964_explanatory text.doc
    Jun 27, 2016 - Brazil, 1945-1989 and Rio de Janeiro, 1791-1964
    MS Word - 28.0 KB - MD5: 718d4a974b3be7017bc0f73c9242c2ab
    National_Brazil_Rio de Janeiro_1791- 1964.xlsx
    Jun 27, 2016 - Brazil, 1945-1989 and Rio de Janeiro, 1791-1964
    MS Excel Spreadsheet - 689.4 KB - MD5: 44afd5441267b817528e2ba93cf56e26
    National_Turkey_1963-2015 - explanatory text.doc
    Jun 27, 2016 - Turkey, 1963-2015
    MS Word - 31.5 KB - MD5: f9cc14dafb02a6ec0f1f8dfe1751cf25
    National_Turkey_1963-2015.xlsx
    Jun 27, 2016 - Turkey, 1963-2015
    MS Excel Spreadsheet - 106.5 KB - MD5: 100e5ede41521493ab562a63789961c4
    China, 2004-2015.tab
    Jun 24, 2016 - China, 2004-2015
    Tabular Data - 472 B - 11 Variables, 6 Observations - UNF:6:rJnd921Nv1w3v2lsup0iFw==
    Micro_China_explanatory text.doc
    Jun 24, 2016 - China, 2004-2015
    MS Word - 28.5 KB - MD5: 51bdf787d7bec444c424e087a9c839a9
    National_Finland_1890-2015_explanatory text.doc
    Jun 13, 2016 - Finland, 1890-2015
    MS Word - 27.0 KB - MD5: 14c3a48b7f75182d8a212a5e3e5926c0
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